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An attribution-based pruning method for real-time mango detection with YOLO network
Rui Shi, Tianxing Li, Yasushi Yamaguchi. Computers and Electronics in Agriculture, 2020, 169: 105214.
Group visualization of class-discriminative features
Rui Shi1, Tianxing Li1, Yasushi Yamaguchi. Neural Networks, 2020, 129: 75-90.
DenseGATs: A graph-attention-based network for nonlinear character deformation
Tianxing Li, Rui Shi, Takashi Kanai. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2020, Article No. 5.
MultiResGNet: Approximating nonlinear deformation via multi-resolution graphs
Tianxing Li, Rui Shi, Takashi Kanai. Computer Graphics Forum (Presented at Eurographics 2021), 2021, 40 (2): 537-548.
Output-targeted baseline for neuron attribution calculation
Rui Shi, Tianxing Li, Yasushi Yamaguchi. Image and Vision Computing, 2022, 124: 104516.
Detail-aware deep clothing animations infused with multi-source attributes
Tianxing Li, Rui Shi, Takashi Kanai. Computer Graphics Forum (Presented at Eurographics 2023), 2023, 42 (1): 231-244.
Understanding contributing neurons via attribution visualization
Rui Shi, Tianxing Li, Yasushi Yamaguchi. Neurocomputing, 2023, 550: 126492.
SwinGar: Spectrum-inspired neural dynamic deformation for free-swinging garments
Tianxing Li, Rui Shi, Qing Zhu, Takashi Kanai. IEEE Transactions on Visualization and Computer Graphics, 2023, 1-16, Online View.
Visualization comparison of vision transformers and convolutional neural networks
Rui Shi, Tianxing Li, Liguo Zhang, Yasushi Yamaguchi. IEEE Transactions on Multimedia, 2024, 26: 2327-2339.
Efficient deformation learning of varied garments with a structure-preserving multilevel framework
Tianxing Li, Rui Shi, Zihui Li, Takashi Kanai, Qing Zhu. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2024, Article No. 8.
